Soy sauce and fermented soy — interactions

The category where the modern measurements changed the advice most: Shulman and Walker found soy sauce samples ranging from negligible to very high, and fermented soybean products (miso, fermented bean curd) among the highest.

Also known as: miso, tempeh, fermented bean curd, natto, tamari, fish sauce. Category: food.

What it does, mechanism by mechanism

Dietary tyramine load — provides, variable

Food that carries pressor amines produced by bacterial decarboxylation during ageing or fermentation. Harmless when gut and liver MAO-A destroy it. Not harmless when that enzyme is blocked.

Highly variable between products and brands. Ordinary soy sauce in a normal serving is usually modest; fermented soybean pastes and fermented bean curd can be high.

Sources: Shulman KI 1999, Walker SE 1996 · more on Dietary tyramine load

Specific combinations

What a clean result means here

A clean result means NO DOCUMENTED INTERACTION IN THIS DATASET. It does not mean safe, and it is not a clearance. Most substances are not in this dataset at all, and for many pairs that are, nobody has ever studied the combination.

In this dataset

  • Monoamine oxidase inhibition (prescription MAOIs, RIMAs, linezolid, methylene blue, harmala alkaloids)
  • Serotonergic drugs and the serotonin-toxicity mechanism
  • Dietary tyramine and L-dopa loads
  • The major cytochrome P450 pathways: CYP3A4, CYP2D6, CYP1A2, CYP2C9, CYP2C19 — inhibition and induction
  • P-glycoprotein inhibition and induction
  • 11β-HSD2 inhibition (the licorice mechanism) and the potassium consequences that follow it
  • QT prolongation as an additive pharmacodynamic axis
  • Culinary seasonings and common foods with documented pharmacological activity
  • A selected set of narrow-therapeutic-index drugs where those shifts matter most

Not in this dataset

  • Any substance not named in this dataset — which is most substances. There are tens of thousands of marketed drugs and this table holds fewer than a hundred entries.
  • Phase-2 conjugation (UGT, SULT, NAT2, COMT) except where a specific entry names it. The oilahuasca corpus turns heavily on phase 2 and this engine models it only in passing.
  • Pharmacogenomics. CYP2D6 and CYP2C19 are strongly polymorphic; a poor metaboliser and an ultra-rapid metaboliser can have opposite outcomes from the same pair, and this engine does not know your genotype.
  • Dose, timing, duration, formulation and route — all of which change whether a documented interaction is clinically real for you.
  • Renal and hepatic impairment, age, pregnancy, and body composition.
  • Additive sedation, respiratory depression, bleeding risk, hypoglycaemia and most other pharmacodynamic axes beyond the ones listed above.
  • Herb–herb interactions outside the named entries, and essentially the whole botanical world: most plants have no interaction literature at all.
  • Allergy, intolerance, and contamination or adulteration of unregulated products.
  • Anything published after the last-reviewed date below.

72 substances, 20 mechanisms, 64 citations. Last reviewed . Primary literature (every DOI resolved against the Crossref API) and FDA drug labelling. There is no free, openly-licensed, comprehensive drug-interaction dataset to draw on; NLM retired its Drug Interaction API on 2024-01-02 and DrugBank's interaction set is a commercial licence.

References

  1. Shulman KI, Walker SE (1999). Refining the MAOI Diet. The Journal of Clinical Psychiatry. doi:10.4088/jcp.v60n0308
  2. Walker SE, Shulman KI, Tailor SAN, Gardner D (1996). Tyramine Content of Previously Restricted Foods in Monoamine Oxidase Inhibitor Diets. Journal of Clinical Psychopharmacology. doi:10.1097/00004714-199610000-00007

Every DOI above was resolved against the Crossref API on 2026-09-09 and the returned title checked against the one printed here. Three DOIs in the first draft resolved to real but different papers and were corrected before publication.

Last reviewed . All interaction pages.